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Anthropic•Open weights•June 30, 2026

Claude Sonnet 5 (medium)

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Speed
78.2

output tokens/sec

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) generates output at 78. …

Latency
3.94s

TTFT

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) has a time to first token (TTFT) of 3. …

Input Price
$2.00

/ 1M tokens

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) costs $2.00 per 1M input tokens (somewhat …

Output Price
$10.00

/ 1M tokens

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) costs $2.00 per 1M input tokens (somewhat …

Intelligence
not provided

This profile does not provide this metric.

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

General purpose assistant

Route complex or high-value tasks here when the extra capability justifies the cost.

Best for

  • High-value tasks where quality outweighs cost

Weak or unsuitable

  • Routine high-volume generation
  • Simple extraction or labeling

Routing recommendation

1

Lower-cost models for repetitive or high-volume work

2

Cache-backed reuse for repeated prompts

Cost pressure

Premium pricing — $2.00 / M input, $10.00 / M output. Use cheaper routes for repetitive or low-risk work.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Latency-sensitive applicationsModerateTTFT 3.94s — latency may be noticeable in interactive use.Consider routing latency-critical paths to faster models.
Cost-sensitive pipelinesModerateOutput pricing at $10.00 is premium. Route high-volume simple tasks to cheaper alternatives.Use only for high-value tasks; route simple queries to budget models.

Cost pressure

High

Pricing is premium — input $2.00, output $10.00. This model is expensive for high-volume or output-heavy workloads.

Cheaper substitutes

  • Lower-cost models for repetitive or high-volume work
  • Cache-backed reuse for repeated prompts

Route away when

  • Output-heavy tasks
  • High-frequency chat at scale
  • Simple queries that cheaper models handle well

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) generates output at 78.2 tokens per second (based on Anthropic's API), which is below average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) costs $2.00 per 1M input tokens (somewhat higher than average, median: $1.50) and $10.00 per 1M output tokens (somewhat higher than average, median: $8.40), based on Anthropic's API.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) generates output at 78.2 tokens per second (based on Anthropic's API), which is below average compared to other reasoning models in a similar price tier (median: 81.2 t/s).

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 168168AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro PreviewMiniMax-M3: 9595?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Claude Sonnet 5 (max): 8484AClaude Sonnet 5 (max)Claude Sonnet 5 (medium): 7878AClaude Sonnet 5 (medium)

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is premium — input $2.00, output $10.00. This model is expensive for high-volume or output-heavy workloads.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…Claude Opus 4.8 (max): 5656AClaude Opus 4.8 (max)GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)Claude Opus 4.7 (max): 5454AClaude Opus 4.7 (max)Claude Sonnet 5 (max): 5353AClaude Sonnet 5 (max)GPT-5.5 (high): 5353AIGPT-5.5 (high)GPT-5.4 (xhigh): 5151AIGPT-5.4 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)GPT-5.5 (medium): 5050AIGPT-5.5 (medium)Gemini 3.5 Flash: 5050GGemini 3.5 Flash

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Qwen3.7 Max: 206206QQwen3.7 MaxGemini 3.5 Flash: 192192GGemini 3.5 FlashGPT-5.4 mini (xhigh): 179179AIGPT-5.4 mini (xhigh)GPT-5.4 (xhigh): 168168AIGPT-5.4 (xhigh)Grok 4.3 (high): 164164xGrok 4.3 (high)Gemini 3.1 Pro Preview: 152152GGemini 3.1 Pro PreviewMiniMax-M3: 9595?MiniMax-M3Claude Sonnet 5 (medium): 7878AClaude Sonnet 5 (medium)

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 316316AIgpt-oss-120b (high)Nemotron 3 Ultra: 248248NNemotron 3 UltraGLM-5.2 (max): 216216?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9595?MiniMax-M3GPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Claude Sonnet 5 (medium): 7878AClaude Sonnet 5 (medium)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s2.5s5s7.5s10sKimi K2.7 Code: 9.6s9.6sKKimi K2.7 CodeClaude Opus 4.7 (max): 8.9s8.9sAClaude Opus 4.7 (max)Claude Opus 4.8 (max): 7.8s7.8sAClaude Opus 4.8 (max)DeepSeek V4 Pro (max): 6.9s6.9sDDeepSeek V4 Pro (max)GPT-5.5 (medium): 6.9s6.9sAIGPT-5.5 (medium)Kimi K2.6: 6.6s6.6sKKimi K2.6Claude Sonnet 5 (medium): 6.4s6.4sAClaude Sonnet 5 (medium)GLM-5.1: 6.3s6.3s?GLM-5.1Grok Build 0.1 0616: 6.2s6.2sxGrok Build 0.1 0616GPT-5.5 (high): 6.2s6.2sAIGPT-5.5 (high)

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s25s50s75s100sDeepSeek V4 Pro (max): 61s61sDDeepSeek V4 Pro (max)Kimi K2.6: 58s58sKKimi K2.6GLM-5.1: 48s48s?GLM-5.1Kimi K2.7 Code: 43s43sKKimi K2.7 CodeGrok Build 0.1 0616: 25s25sxGrok Build 0.1 0616MiniMax-M3: 21s21s?MiniMax-M3Qwen3.7 Max: 12s12sQQwen3.7 MaxGLM-5.2 (max): 9.3s9.3s?GLM-5.2 (max)Nemotron 3 Ultra: 9.2s9.2sNNemotron 3 Ultragpt-oss-120b (high): 6.3s6.3sAIgpt-oss-120b (high)Claude Sonnet 5 (medium): 0s0sAClaude Sonnet 5 (medium)

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0500k1M1.5M2MGPT-5.4 (xhigh): 1.1M1.1MAIGPT-5.4 (xhigh)Claude Sonnet 5 (medium): 1M1MAClaude Sonnet 5 (medium)Gemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3Claude Opus 4.8 (max): 1M1MAClaude Opus 4.8 (max)Claude Opus 4.7 (max): 1M1MAClaude Opus 4.7 (max)

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Claude Sonnet 4.6 (max): 0.10.1AClaude Sonnet 4.6 (max)GPT-5.5 (high): 0.10.1AIGPT-5.5 (high)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashGPT-5.5 (medium): 0.10.1AIGPT-5.5 (medium)GPT-5.4 (xhigh): 0.10.1AIGPT-5.4 (xhigh)GPT-5.5 (low): 00AIGPT-5.5 (low)GLM-5.1: 00?GLM-5.1Qwen3.7 Max: 00QQwen3.7 MaxGemini 3.1 Pro Preview: 00GGemini 3.1 Pro Preview

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100150Claude Sonnet 4.6 (max): 149149AClaude Sonnet 4.6 (max)GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)GPT-5.5 (high): 119119AIGPT-5.5 (high)Gemini 3.5 Flash: 114114GGemini 3.5 FlashGPT-5.5 (medium): 9999AIGPT-5.5 (medium)GPT-5.4 (xhigh): 8989AIGPT-5.4 (xhigh)GPT-5.5 (low): 6565AIGPT-5.5 (low)Gemini 3.1 Pro Preview: 4949GGemini 3.1 Pro PreviewQwen3.7 Max: 4848QQwen3.7 MaxGLM-5.1: 4040?GLM-5.1

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MClaude Opus 4.8 (max): 3131AClaude Opus 4.8 (max)Claude Sonnet 4.6 (max): 1818AClaude Sonnet 4.6 (max)GPT-5.4 (xhigh): 1818AIGPT-5.4 (xhigh)Gemini 3.1 Pro Preview: 1414GGemini 3.1 Pro PreviewClaude Sonnet 5 (medium): 1212AClaude Sonnet 5 (medium)Claude Sonnet 5 (max): 1212AClaude Sonnet 5 (max)Claude Sonnet 5 (Non-reasoning): 1212AClaude Sonnet 5 (Non-rea…Gemini 3.5 Flash: 1111GGemini 3.5 FlashQwen3.7 Max: 1010QQwen3.7 MaxGLM-5.2 (max): 6.16.1?GLM-5.2 (max)cache Hitinputoutput

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

02468Claude Opus 4.8 (max): 6.86.8AClaude Opus 4.8 (max)DeepSeek V4 Pro (max): 6.76.7DDeepSeek V4 Pro (max)Claude Opus 4.7 (max): 5.95.9AClaude Opus 4.7 (max)GLM-5.1: 5.15.1?GLM-5.1Kimi K2.7 Code: 55KKimi K2.7 CodeClaude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 44?MiniMax-M3Grok Build 0.1 0616: 3.83.8xGrok Build 0.1 0616GPT-5.4 (xhigh): 3.13.1AIGPT-5.4 (xhigh)GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)

Additional Benchmarks

Further benchmark and comparison data.

AA-Briefcase Elo

AA-Briefcase is an agentic knowledge work benchmark developed by Artificial Analysis. AA-Briefcase Elo is a combined metric that aggregates rubric pass rate, analytical quality Elo and presentation Elo · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51Claude Fable 5 (with fallback): 00AClaude Fable 5 (with fal…Claude Sonnet 5 (max): 00AClaude Sonnet 5 (max)Claude Opus 4.8 (max): 00AClaude Opus 4.8 (max)Claude Opus 4.7 (max): 00AClaude Opus 4.7 (max)GLM-5.2 (max): 00?GLM-5.2 (max)GPT-5.5 (xhigh): 00AIGPT-5.5 (xhigh)MiniMax-M3: 00?MiniMax-M3GPT-5.5 (high): 00AIGPT-5.5 (high)Claude Sonnet 4.6 (max): 00AClaude Sonnet 4.6 (max)Claude Sonnet 5 (medium): 00AClaude Sonnet 5 (medium)

Specifications

Technical Specifications

Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) generates output at 78.2 tokens per second (based on Anthropic's API), which is below average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) costs $2.00 per 1M input tokens (somewhat higher than average, median: $1.50) and $10.00 per 1M output tokens (somewhat higher than average, median: $8.40), based on Anthropic's API.

Claude Sonnet 5 (medium)

Model type
Open weights
Reasoning
Yes
Input modalities
Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) supports text and image input.
Output modalities
Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) supports text output.
Context window
Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
No, Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) is proprietary. The model weights are not publicly available.
Parameters
Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) is a proprietary model and Anthropic has not disclosed the model size or parameter count.
API availability
Yes, Claude Sonnet 5 (Adaptive Reasoning, Medium Effort) is available via API through 1 provider.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Claude Sonnet 5 (medium).

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions